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Packet out-of-order and retransmission in statistics-based traffic analysis

机译:基于统计的流量分析中的数据包乱序和重传

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With the rapid growth of the Internet, the importance of application traffic analysis increases for efficient network management. The statistical information in traffic flows, can be efficiently utilized for application traffic identification. However, the packet out-of-order and retransmission generated at the traffic collection point reduce the performance of the statistics-based traffic analysis. In this paper, we propose a novel method to detect and resolve the packet out-of-order and retransmission problem in order to improve completeness and accuracy of the traffic identification. To prove the feasibility of the proposed method, we applied our method to a real traffic analysis system using statistical flow information, and compared the performance of the system with the selected 9 popular applications. The experiment showed maximum 4.9% of completeness growth in traffic bytes, which shows that the proposed method contributes to the analysis of heavy flow.
机译:随着Internet的快速发展,应用程序流量分析对有效网络管理的重要性日益提高。可以将流量中的统计信息有效地用于应用程序流量识别。但是,在流量收集点生成的数据包乱序和重传会降低基于统计信息的流量分析的性能。为了提高流量识别的完整性和准确性,本文提出了一种新的检测和解决报文乱序和重传问题的方法。为了证明该方法的可行性,我们将我们的方法应用到使用统计流信息的真实交通分析系统中,并将该系统的性能与所选的9种流行应用进行了比较。实验表明,流量字节最大完整度增长了4.9%,这表明所提出的方法有助于分析大流量。

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